Reporte del dataframe embedded

Dataset statistics

Number of variables	17
Number of observations	3082
Missing cells	11283
Missing cells (%)	21.5%
Duplicate rows	511
Duplicate rows (%)	16.6%
Total size in memory	409.5 KiB
Average record size in memory	136.0 B

Variable types

Numeric	5
Categorical	9
DateTime	2
Unsupported	1

Alerts

Dataset has 511 (16.6%) duplicate rows	Duplicates
`_embedded.show.url` has a high cardinality: 633 distinct values	High cardinality
`_embedded.show.name` has a high cardinality: 631 distinct values	High cardinality
`_embedded.show.genres` has a high cardinality: 160 distinct values	High cardinality
`_embedded.show.officialSite` has a high cardinality: 570 distinct values	High cardinality
`_embedded.show.runtime` is highly correlated with `_embedded.show.id` and 5 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `_embedded.show.type` and 4 other fields	High correlation
`_embedded.show.type` is highly correlated with `_embedded.show.id` and 6 other fields	High correlation
`_embedded.show.schedule.time` is highly correlated with `_embedded.show.id` and 8 other fields	High correlation
`_embedded.show.status` is highly correlated with `_embedded.show.type` and 4 other fields	High correlation
`_embedded.show.language` is highly correlated with `_embedded.show.id` and 8 other fields	High correlation
`_embedded.show.id` is highly correlated with `_embedded.show.type` and 6 other fields	High correlation
`_embedded.show.schedule.days` is highly correlated with `_embedded.show.id` and 8 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `_embedded.show.id` and 5 other fields	High correlation
`_embedded.show.weight` is highly correlated with `_embedded.show.id` and 4 other fields	High correlation
`_embedded.show.language` has 34 (1.1%) missing values	Missing
`_embedded.show.runtime` has 1017 (33.0%) missing values	Missing
`_embedded.show.ended` has 1699 (55.1%) missing values	Missing
`_embedded.show.officialSite` has 408 (13.2%) missing values	Missing
`_embedded.show.schedule.time` has 2213 (71.8%) missing values	Missing
`_embedded.show.rating.average` has 2661 (86.3%) missing values	Missing
`_embedded.show.network` has 3082 (100.0%) missing values	Missing
`_embedded.show.averageRuntime` has 169 (5.5%) missing values	Missing
`_embedded.show.network` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2022-09-17 21:54:02.868058
Analysis finished	2022-09-17 21:55:03.305934
Duration	1 minute and 0.44 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

_embedded.show.id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	633
Distinct (%)	20.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46952.47664

Minimum	802
Maximum	64152
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.2 KiB

Quantile statistics

Minimum	802
5-th percentile	15250
Q1	44135
median	51954
Q3	52806
95-th percentile	60156
Maximum	64152
Range	63350
Interquartile range (IQR)	8671

Descriptive statistics

Standard deviation	12449.65797
Coefficient of variation (CV)	0.2651544468
Kurtosis	3.026877779
Mean	46952.47664
Median Absolute Deviation (MAD)	2825
Skewness	-1.820832003
Sum	144707533
Variance	154993983.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15250	38	1.2%
55355	32	1.0%
30606	31	1.0%
52743	30	1.0%
52104	29	0.9%
52421	28	0.9%
47912	26	0.8%
52806	26	0.8%
54762	24	0.8%
50752	24	0.8%
Other values (623)	2794	90.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
802	4	0.1%
1596	2	0.1%
1825	5	0.2%
2266	6	0.2%
2504	19	0.6%
2855	1	< 0.1%
3734	1	< 0.1%
4091	3	0.1%
5058	1	< 0.1%
6090	4	0.1%

Value	Count	Frequency (%)
64152	1	< 0.1%
64132	4	0.1%
64023	8	0.3%
63967	5	0.2%
63761	3	0.1%
63719	10	0.3%
63310	4	0.1%
63155	4	0.1%
62901	2	0.1%
62764	6	0.2%

_embedded.show.url
Categorical

HIGH CARDINALITY

Distinct	633
Distinct (%)	20.5%
Missing	0
Missing (%)	0.0%
Memory size	24.2 KiB

https://www.tvmaze.com/shows/15250/the-young-turks	38
https://www.tvmaze.com/shows/55355/90-day-fiance-extras	32
https://www.tvmaze.com/shows/30606/scishow	31
https://www.tvmaze.com/shows/52743/the-penalty-zone	30
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	29
Other values (628)	2922

Length

Max length	85
Median length	70
Mean length	50.89649578
Min length	38

Characters and Unicode

Total characters	156863
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	122 ?
Unique (%)	4.0%

Sample

1st row	https://www.tvmaze.com/shows/41648/sim-for-you
2nd row	https://www.tvmaze.com/shows/52198/kotiki
3rd row	https://www.tvmaze.com/shows/52933/lab-s-antonom-belaevym
4th row	https://www.tvmaze.com/shows/51336/core-sense
5th row	https://www.tvmaze.com/shows/54033/wu-shen-zhu-zai

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/15250/the-young-turks	38	1.2%
https://www.tvmaze.com/shows/55355/90-day-fiance-extras	32	1.0%
https://www.tvmaze.com/shows/30606/scishow	31	1.0%
https://www.tvmaze.com/shows/52743/the-penalty-zone	30	1.0%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	29	0.9%
https://www.tvmaze.com/shows/52421/you-complete-me	28	0.9%
https://www.tvmaze.com/shows/52806/ultimate-note	26	0.8%
https://www.tvmaze.com/shows/47912/the-wolf	26	0.8%
https://www.tvmaze.com/shows/52655/the-case-solver	24	0.8%
https://www.tvmaze.com/shows/52524/forever-love	24	0.8%
Other values (623)	2794	90.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/15250/the-young-turks	38	1.2%
https://www.tvmaze.com/shows/55355/90-day-fiance-extras	32	1.0%
https://www.tvmaze.com/shows/30606/scishow	31	1.0%
https://www.tvmaze.com/shows/52743/the-penalty-zone	30	1.0%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	29	0.9%
https://www.tvmaze.com/shows/52421/you-complete-me	28	0.9%
https://www.tvmaze.com/shows/52806/ultimate-note	26	0.8%
https://www.tvmaze.com/shows/47912/the-wolf	26	0.8%
https://www.tvmaze.com/shows/52655/the-case-solver	24	0.8%
https://www.tvmaze.com/shows/52524/forever-love	24	0.8%
Other values (623)	2794	90.7%

Most occurring characters

Value	Count	Frequency (%)
/	15410	9.8%
w	13063	8.3%
t	12514	8.0%
s	12112	7.7%
o	9324	5.9%
e	8458	5.4%
h	7759	4.9%
m	7438	4.7%
a	6555	4.2%
.	6164	3.9%
Other values (30)	58066	37.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	110878	70.7%
Other Punctuation	24656	15.7%
Decimal Number	15699	10.0%
Dash Punctuation	5630	3.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	13063	11.8%
t	12514	11.3%
s	12112	10.9%
o	9324	8.4%
e	8458	7.6%
h	7759	7.0%
m	7438	6.7%
a	6555	5.9%
c	4213	3.8%
p	3819	3.4%
Other values (16)	25623	23.1%

Decimal Number

Value	Count	Frequency (%)
5	2967	18.9%
2	1949	12.4%
4	1868	11.9%
1	1576	10.0%
0	1371	8.7%
6	1336	8.5%
3	1320	8.4%
9	1170	7.5%
8	1075	6.8%
7	1067	6.8%

Other Punctuation

Value	Count	Frequency (%)
/	15410	62.5%
.	6164	25.0%
:	3082	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	5630	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	110878	70.7%
Common	45985	29.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	13063	11.8%
t	12514	11.3%
s	12112	10.9%
o	9324	8.4%
e	8458	7.6%
h	7759	7.0%
m	7438	6.7%
a	6555	5.9%
c	4213	3.8%
p	3819	3.4%
Other values (16)	25623	23.1%

Common

Value	Count	Frequency (%)
/	15410	33.5%
.	6164	13.4%
-	5630	12.2%
:	3082	6.7%
5	2967	6.5%
2	1949	4.2%
4	1868	4.1%
1	1576	3.4%
0	1371	3.0%
6	1336	2.9%
Other values (4)	4632	10.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	156863	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	15410	9.8%
w	13063	8.3%
t	12514	8.0%
s	12112	7.7%
o	9324	5.9%
e	8458	5.4%
h	7759	4.9%
m	7438	4.7%
a	6555	4.2%
.	6164	3.9%
Other values (30)	58066	37.0%

_embedded.show.name
Categorical

HIGH CARDINALITY

Distinct	631
Distinct (%)	20.5%
Missing	0
Missing (%)	0.0%
Memory size	24.2 KiB

The Young Turks	38
90 Day Fiancé: Extras	32
SciShow	31
The Penalty Zone	30
Twisted Fate of Love	29
Other values (626)	2922

Length

Max length	51
Median length	37
Mean length	16.17780662
Min length	3

Characters and Unicode

Total characters	49860
Distinct characters	173
Distinct categories	9 ?
Distinct scripts	4 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	122 ?
Unique (%)	4.0%

Sample

1st row	Sim for You
2nd row	Котики
3rd row	LAB с Антоном Беляевым
4th row	Core Sense
5th row	Wu Shen Zhu Zai

Common Values

Value	Count	Frequency (%)
The Young Turks	38	1.2%
90 Day Fiancé: Extras	32	1.0%
SciShow	31	1.0%
The Penalty Zone	30	1.0%
Twisted Fate of Love	29	0.9%
You Complete Me	28	0.9%
Ultimate Note	26	0.8%
The Wolf	26	0.8%
The Case Solver	24	0.8%
Youths in the Breeze	24	0.8%
Other values (621)	2794	90.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	464	5.3%
of	190	2.2%
love	124	1.4%
you	79	0.9%
in	68	0.8%
a	61	0.7%
to	51	0.6%
my	49	0.6%
me	44	0.5%
with	44	0.5%
Other values (1297)	7524	86.5%

Most occurring characters

Value	Count	Frequency (%)
	5616	11.3%
e	4797	9.6%
a	2784	5.6%
o	2669	5.4%
i	2457	4.9%
n	2433	4.9%
r	2403	4.8%
t	2207	4.4%
s	1968	3.9%
l	1528	3.1%
Other values (163)	20998	42.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	35188	70.6%
Uppercase Letter	7897	15.8%
Space Separator	5616	11.3%
Other Punctuation	706	1.4%
Decimal Number	376	0.8%
Dash Punctuation	57	0.1%
Close Punctuation	8	< 0.1%
Currency Symbol	8	< 0.1%
Open Punctuation	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4797	13.6%
a	2784	7.9%
o	2669	7.6%
i	2457	7.0%
n	2433	6.9%
r	2403	6.8%
t	2207	6.3%
s	1968	5.6%
l	1528	4.3%
h	1319	3.7%
Other values (75)	10623	30.2%

Uppercase Letter

Value	Count	Frequency (%)
T	904	11.4%
S	677	8.6%
B	522	6.6%
M	477	6.0%
L	437	5.5%
C	416	5.3%
W	412	5.2%
F	386	4.9%
D	364	4.6%
A	353	4.5%
Other values (49)	2949	37.3%

Other Punctuation

Value	Count	Frequency (%)
:	257	36.4%
'	150	21.2%
.	102	14.4%
!	69	9.8%
,	50	7.1%
?	34	4.8%
&	22	3.1%
%	8	1.1%
#	6	0.8%
@	4	0.6%
Other values (2)	4	0.6%

Decimal Number

Value	Count	Frequency (%)
0	133	35.4%
2	93	24.7%
3	42	11.2%
9	32	8.5%
1	32	8.5%
7	15	4.0%
5	14	3.7%
6	9	2.4%
8	4	1.1%
4	2	0.5%

Dash Punctuation

Value	Count	Frequency (%)
-	54	94.7%
–	3	5.3%

Currency Symbol

Value	Count	Frequency (%)
$	4	50.0%
₴	4	50.0%

Space Separator

Value	Count	Frequency (%)
	5616	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	8	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	40314	80.9%
Common	6775	13.6%
Cyrillic	2603	5.2%
Greek	168	0.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4797	11.9%
a	2784	6.9%
o	2669	6.6%
i	2457	6.1%
n	2433	6.0%
r	2403	6.0%
t	2207	5.5%
s	1968	4.9%
l	1528	3.8%
h	1319	3.3%
Other values (57)	15749	39.1%

Cyrillic

Value	Count	Frequency (%)
о	237	9.1%
е	197	7.6%
а	190	7.3%
и	176	6.8%
к	148	5.7%
н	145	5.6%
т	138	5.3%
р	129	5.0%
с	108	4.1%
д	70	2.7%
Other values (50)	1065	40.9%

Common

Value	Count	Frequency (%)
	5616	82.9%
:	257	3.8%
'	150	2.2%
0	133	2.0%
.	102	1.5%
2	93	1.4%
!	69	1.0%
-	54	0.8%
,	50	0.7%
3	42	0.6%
Other values (19)	209	3.1%

Greek

Value	Count	Frequency (%)
ς	24	14.3%
ε	16	9.5%
έ	16	9.5%
ρ	8	4.8%
Χ	8	4.8%
Έ	8	4.8%
γ	8	4.8%
Ε	8	4.8%
τ	8	4.8%
α	8	4.8%
Other values (7)	56	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	46854	94.0%
Cyrillic	2603	5.2%
None	396	0.8%
Currency Symbols	4	< 0.1%
Punctuation	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	5616	12.0%
e	4797	10.2%
a	2784	5.9%
o	2669	5.7%
i	2457	5.2%
n	2433	5.2%
r	2403	5.1%
t	2207	4.7%
s	1968	4.2%
l	1528	3.3%
Other values (69)	17992	38.4%

Cyrillic

Value	Count	Frequency (%)
о	237	9.1%
е	197	7.6%
а	190	7.3%
и	176	6.8%
к	148	5.7%
н	145	5.6%
т	138	5.3%
р	129	5.0%
с	108	4.1%
д	70	2.7%
Other values (50)	1065	40.9%

None

Value	Count	Frequency (%)
ø	63	15.9%
é	52	13.1%
ä	26	6.6%
å	25	6.3%
ς	24	6.1%
ε	16	4.0%
έ	16	4.0%
ı	11	2.8%
á	10	2.5%
Ç	8	2.0%
Other values (22)	145	36.6%

Currency Symbols

Value	Count	Frequency (%)
₴	4	100.0%

Punctuation

Value	Count	Frequency (%)
–	3	100.0%

_embedded.show.type
Categorical

HIGH CORRELATION

Distinct	11
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	24.2 KiB

Scripted	1593
Animation	385
Documentary	328
Reality	264
Talk Show	242
Other values (6)	270

Length

Max length	11
Median length	8
Mean length	8.308241402
Min length	4

Characters and Unicode

Total characters	25606
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Reality
2nd row	Scripted
3rd row	Documentary
4th row	Animation
5th row	Animation

Common Values

Value	Count	Frequency (%)
Scripted	1593	51.7%
Animation	385	12.5%
Documentary	328	10.6%
Reality	264	8.6%
Talk Show	242	7.9%
Variety	79	2.6%
Sports	79	2.6%
News	56	1.8%
Game Show	48	1.6%
Award Show	6	0.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
scripted	1593	47.1%
animation	385	11.4%
documentary	328	9.7%
show	298	8.8%
reality	264	7.8%
talk	242	7.2%
variety	79	2.3%
sports	79	2.3%
news	56	1.7%
game	48	1.4%
Other values (2)	8	0.2%

Most occurring characters

Value	Count	Frequency (%)
t	2728	10.7%
i	2706	10.6%
e	2370	9.3%
r	2085	8.1%
S	1970	7.7%
c	1921	7.5%
p	1672	6.5%
d	1599	6.2%
a	1354	5.3%
n	1100	4.3%
Other values (18)	6101	23.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	21928	85.6%
Uppercase Letter	3380	13.2%
Space Separator	298	1.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	2728	12.4%
i	2706	12.3%
e	2370	10.8%
r	2085	9.5%
c	1921	8.8%
p	1672	7.6%
d	1599	7.3%
a	1354	6.2%
n	1100	5.0%
o	1090	5.0%
Other values (8)	3303	15.1%

Uppercase Letter

Value	Count	Frequency (%)
S	1970	58.3%
A	391	11.6%
D	328	9.7%
R	264	7.8%
T	242	7.2%
V	79	2.3%
N	56	1.7%
G	48	1.4%
P	2	0.1%

Space Separator

Value	Count	Frequency (%)
	298	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25308	98.8%
Common	298	1.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	2728	10.8%
i	2706	10.7%
e	2370	9.4%
r	2085	8.2%
S	1970	7.8%
c	1921	7.6%
p	1672	6.6%
d	1599	6.3%
a	1354	5.4%
n	1100	4.3%
Other values (17)	5803	22.9%

Common

Value	Count	Frequency (%)
	298	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25606	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	2728	10.7%
i	2706	10.6%
e	2370	9.3%
r	2085	8.1%
S	1970	7.7%
c	1921	7.5%
p	1672	6.5%
d	1599	6.2%
a	1354	5.3%
n	1100	4.3%
Other values (18)	6101	23.8%

_embedded.show.language
Categorical

HIGH CORRELATION
MISSING

Distinct	37
Distinct (%)	1.2%
Missing	34
Missing (%)	1.1%
Memory size	24.2 KiB

English	983
Chinese	686
Russian	246
Norwegian	223
Korean	181
Other values (32)	729

Length

Max length	10
Median length	7
Mean length	6.982283465
Min length	4

Characters and Unicode

Total characters	21282
Distinct characters	43
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Korean
2nd row	Russian
3rd row	Russian
4th row	Chinese
5th row	Chinese

Common Values

Value	Count	Frequency (%)
English	983	31.9%
Chinese	686	22.3%
Russian	246	8.0%
Norwegian	223	7.2%
Korean	181	5.9%
Arabic	66	2.1%
Japanese	64	2.1%
Hindi	64	2.1%
Spanish	60	1.9%
Thai	51	1.7%
Other values (27)	424	13.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
english	983	32.3%
chinese	686	22.5%
russian	246	8.1%
norwegian	223	7.3%
korean	181	5.9%
arabic	66	2.2%
japanese	64	2.1%
hindi	64	2.1%
spanish	60	2.0%
thai	51	1.7%
Other values (27)	424	13.9%

Most occurring characters

Value	Count	Frequency (%)
n	2725	12.8%
i	2673	12.6%
s	2446	11.5%
e	2165	10.2%
h	1967	9.2%
g	1357	6.4%
a	1252	5.9%
l	1091	5.1%
E	983	4.6%
C	686	3.2%
Other values (33)	3937	18.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	18234	85.7%
Uppercase Letter	3048	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	2725	14.9%
i	2673	14.7%
s	2446	13.4%
e	2165	11.9%
h	1967	10.8%
g	1357	7.4%
a	1252	6.9%
l	1091	6.0%
r	648	3.6%
o	508	2.8%
Other values (13)	1402	7.7%

Uppercase Letter

Value	Count	Frequency (%)
E	983	32.3%
C	686	22.5%
R	250	8.2%
N	223	7.3%
K	185	6.1%
T	139	4.6%
S	91	3.0%
H	73	2.4%
P	69	2.3%
A	66	2.2%
Other values (10)	283	9.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	21282	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	2725	12.8%
i	2673	12.6%
s	2446	11.5%
e	2165	10.2%
h	1967	9.2%
g	1357	6.4%
a	1252	5.9%
l	1091	5.1%
E	983	4.6%
C	686	3.2%
Other values (33)	3937	18.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21282	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	2725	12.8%
i	2673	12.6%
s	2446	11.5%
e	2165	10.2%
h	1967	9.2%
g	1357	6.4%
a	1252	5.9%
l	1091	5.1%
E	983	4.6%
C	686	3.2%
Other values (33)	3937	18.5%

_embedded.show.genres
Categorical

HIGH CARDINALITY

Distinct	160
Distinct (%)	5.2%
Missing	0
Missing (%)	0.0%
Memory size	24.2 KiB

[]	779
['Comedy']	275
['Drama', 'Romance']	268
['Drama']	96
['Drama', 'Comedy', 'Romance']	84
Other values (155)	1580

Length

Max length	51
Median length	43
Mean length	17.28909799
Min length	2

Characters and Unicode

Total characters	53285
Distinct characters	38
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	0.5%

Sample

1st row	[]
2nd row	['Comedy']
3rd row	['Music']
4th row	['Action', 'Anime', 'Science-Fiction']
5th row	['Action', 'Adventure', 'Anime', 'Fantasy']

Common Values

Value	Count	Frequency (%)
[]	779	25.3%
['Comedy']	275	8.9%
['Drama', 'Romance']	268	8.7%
['Drama']	96	3.1%
['Drama', 'Comedy', 'Romance']	84	2.7%
['Drama', 'Romance', 'History']	71	2.3%
['Drama', 'Comedy']	63	2.0%
['Crime']	61	2.0%
['Sports']	51	1.7%
['Drama', 'Thriller', 'Mystery']	50	1.6%
Other values (150)	1284	41.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	1100	19.1%
	779	13.5%
comedy	751	13.1%
romance	579	10.1%
crime	291	5.1%
mystery	235	4.1%
fantasy	228	4.0%
action	226	3.9%
thriller	223	3.9%
adventure	187	3.3%
Other values (17)	1152	20.0%

Most occurring characters

Value	Count	Frequency (%)
'	9944	18.7%
a	3593	6.7%
e	3102	5.8%
r	3099	5.8%
[	3082	5.8%
]	3082	5.8%
m	2967	5.6%
	2669	5.0%
,	2669	5.0%
o	2103	3.9%
Other values (28)	16975	31.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	26673	50.1%
Other Punctuation	12613	23.7%
Uppercase Letter	5073	9.5%
Open Punctuation	3082	5.8%
Close Punctuation	3082	5.8%
Space Separator	2669	5.0%
Dash Punctuation	93	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	3593	13.5%
e	3102	11.6%
r	3099	11.6%
m	2967	11.1%
o	2103	7.9%
n	1804	6.8%
i	1713	6.4%
y	1700	6.4%
t	1288	4.8%
c	1207	4.5%
Other values (8)	4097	15.4%

Uppercase Letter

Value	Count	Frequency (%)
C	1223	24.1%
D	1104	21.8%
R	579	11.4%
A	563	11.1%
F	480	9.5%
M	358	7.1%
T	253	5.0%
S	235	4.6%
H	215	4.2%
W	30	0.6%
Other values (4)	33	0.7%

Other Punctuation

Value	Count	Frequency (%)
'	9944	78.8%
,	2669	21.2%

Open Punctuation

Value	Count	Frequency (%)
[	3082	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	3082	100.0%

Space Separator

Value	Count	Frequency (%)
	2669	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	93	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	31746	59.6%
Common	21539	40.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	3593	11.3%
e	3102	9.8%
r	3099	9.8%
m	2967	9.3%
o	2103	6.6%
n	1804	5.7%
i	1713	5.4%
y	1700	5.4%
t	1288	4.1%
C	1223	3.9%
Other values (22)	9154	28.8%

Common

Value	Count	Frequency (%)
'	9944	46.2%
[	3082	14.3%
]	3082	14.3%
	2669	12.4%
,	2669	12.4%
-	93	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	53285	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	9944	18.7%
a	3593	6.7%
e	3102	5.8%
r	3099	5.8%
[	3082	5.8%
]	3082	5.8%
m	2967	5.6%
	2669	5.0%
,	2669	5.0%
o	2103	3.9%
Other values (28)	16975	31.9%

_embedded.show.status
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	24.2 KiB

Ended	1383
Running	1319
To Be Determined	380

Length

Max length	16
Median length	7
Mean length	7.21219987
Min length	5

Characters and Unicode

Total characters	22228
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Ended
3rd row	To Be Determined
4th row	Running
5th row	Running

Common Values

Value	Count	Frequency (%)
Ended	1383	44.9%
Running	1319	42.8%
To Be Determined	380	12.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ended	1383	36.0%
running	1319	34.3%
to	380	9.9%
be	380	9.9%
determined	380	9.9%

Most occurring characters

Value	Count	Frequency (%)
n	5720	25.7%
d	3146	14.2%
e	2903	13.1%
i	1699	7.6%
E	1383	6.2%
R	1319	5.9%
u	1319	5.9%
g	1319	5.9%
	760	3.4%
T	380	1.7%
Other values (6)	2280	10.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	17626	79.3%
Uppercase Letter	3842	17.3%
Space Separator	760	3.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	5720	32.5%
d	3146	17.8%
e	2903	16.5%
i	1699	9.6%
u	1319	7.5%
g	1319	7.5%
o	380	2.2%
t	380	2.2%
r	380	2.2%
m	380	2.2%

Uppercase Letter

Value	Count	Frequency (%)
E	1383	36.0%
R	1319	34.3%
T	380	9.9%
B	380	9.9%
D	380	9.9%

Space Separator

Value	Count	Frequency (%)
	760	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	21468	96.6%
Common	760	3.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	5720	26.6%
d	3146	14.7%
e	2903	13.5%
i	1699	7.9%
E	1383	6.4%
R	1319	6.1%
u	1319	6.1%
g	1319	6.1%
T	380	1.8%
o	380	1.8%
Other values (5)	1900	8.9%

Common

Value	Count	Frequency (%)
	760	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22228	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	5720	25.7%
d	3146	14.2%
e	2903	13.1%
i	1699	7.6%
E	1383	6.2%
R	1319	5.9%
u	1319	5.9%
g	1319	5.9%
	760	3.4%
T	380	1.7%
Other values (6)	2280	10.3%

_embedded.show.runtime
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	56
Distinct (%)	2.7%
Missing	1017
Missing (%)	33.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.52736077

Minimum	1
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.2 KiB

Quantile statistics

Minimum	1
5-th percentile	7
Q1	20
median	34
Q3	45
95-th percentile	120
Maximum	300
Range	299
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	30.73545147
Coefficient of variation (CV)	0.7977564735
Kurtosis	15.48581094
Mean	38.52736077
Median Absolute Deviation (MAD)	14
Skewness	2.987837392
Sum	79559
Variance	944.6679768
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45	490	15.9%
30	192	6.2%
20	165	5.4%
60	154	5.0%
15	90	2.9%
120	88	2.9%
25	82	2.7%
50	62	2.0%
10	62	2.0%
40	62	2.0%
Other values (46)	618	20.1%
(Missing)	1017	33.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4	0.1%
2	10	0.3%
3	3	0.1%
4	18	0.6%
5	45	1.5%
6	7	0.2%
7	39	1.3%
8	38	1.2%
9	7	0.2%
10	62	2.0%

Value	Count	Frequency (%)
300	4	0.1%
240	3	0.1%
180	14	0.5%
130	4	0.1%
120	88	2.9%
90	23	0.7%
66	1	< 0.1%
62	5	0.2%
60	154	5.0%
58	2	0.1%

_embedded.show.premiered
Date

Distinct	407
Distinct (%)	13.2%
Missing	0
Missing (%)	0.0%
Memory size	24.2 KiB

Minimum	1969-11-10 00:00:00
Maximum	2020-12-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

_embedded.show.ended
Date

MISSING

Distinct	112
Distinct (%)	8.1%
Missing	1699
Missing (%)	55.1%
Memory size	24.2 KiB

Minimum	2020-10-25 00:00:00
Maximum	2023-01-12 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

_embedded.show.officialSite
Categorical

HIGH CARDINALITY
MISSING

Distinct	570
Distinct (%)	21.3%
Missing	408
Missing (%)	13.2%
Memory size	24.2 KiB

https://www.tytnetwork.com	38
https://www.discoveryplus.co.uk/show/90-day-extras	32
https://www.youtube.com/user/scishow/	31
https://www.iqiyi.com/a_19rrhllpip.html	30
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=	29
Other values (565)	2514

Length

Max length	250
Median length	89
Mean length	51.23635004
Min length	15

Characters and Unicode

Total characters	137006
Distinct characters	77
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	111 ?
Unique (%)	4.2%

Sample

1st row	https://www.vlive.tv/video/121637
2nd row	http://epic-media.ru/project/kotiki
3rd row	https://premier.one/show/lab-laboratoriya-muzyki-antona-belyaeva
4th row	https://www.bilibili.com/bangumi/media/md28223064
5th row	https://v.qq.com/detail/m/7q544xyrava3vxf.html

Common Values

Value	Count	Frequency (%)
https://www.tytnetwork.com	38	1.2%
https://www.discoveryplus.co.uk/show/90-day-extras	32	1.0%
https://www.youtube.com/user/scishow/	31	1.0%
https://www.iqiyi.com/a_19rrhllpip.html	30	1.0%
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=	29	0.9%
https://www.iqiyi.com/a_nvzsmw0tgx.html	26	0.8%
https://www.iqiyi.com/lib/m_213579814.html	26	0.8%
https://tv.nrk.no/serie/stjernestoev	24	0.8%
https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	24	0.8%
https://www.iqiyi.com/a_c4m3iuc94t.html	24	0.8%
Other values (560)	2390	77.5%
(Missing)	408	13.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tytnetwork.com	38	1.4%
https://www.discoveryplus.co.uk/show/90-day-extras	32	1.2%
https://www.youtube.com/user/scishow	31	1.2%
https://www.iqiyi.com/a_19rrhllpip.html	30	1.1%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab	29	1.1%
https://www.iqiyi.com/a_nvzsmw0tgx.html	26	1.0%
https://www.iqiyi.com/lib/m_213579814.html	26	1.0%
https://tv.nrk.no/serie/stjernestoev	24	0.9%
https://v.youku.com/v_show/id_xndk4otuxmzg1mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	24	0.9%
https://www.iqiyi.com/a_c4m3iuc94t.html	24	0.9%
Other values (559)	2390	89.4%

Most occurring characters

Value	Count	Frequency (%)
/	11240	8.2%
t	10538	7.7%
s	6976	5.1%
e	6915	5.0%
w	6070	4.4%
o	5897	4.3%
.	5648	4.1%
h	5123	3.7%
i	4793	3.5%
p	4441	3.2%
Other values (67)	69365	50.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	90251	65.9%
Other Punctuation	21749	15.9%
Decimal Number	13874	10.1%
Uppercase Letter	7405	5.4%
Dash Punctuation	2421	1.8%
Math Symbol	735	0.5%
Connector Punctuation	571	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	10538	11.7%
s	6976	7.7%
e	6915	7.7%
w	6070	6.7%
o	5897	6.5%
h	5123	5.7%
i	4793	5.3%
p	4441	4.9%
a	4332	4.8%
m	4082	4.5%
Other values (16)	31084	34.4%

Uppercase Letter

Value	Count	Frequency (%)
E	602	8.1%
A	574	7.8%
B	513	6.9%
P	460	6.2%
C	432	5.8%
D	365	4.9%
L	364	4.9%
N	309	4.2%
T	279	3.8%
M	268	3.6%
Other values (16)	3239	43.7%

Other Punctuation

Value	Count	Frequency (%)
/	11240	51.7%
.	5648	26.0%
:	2930	13.5%
%	1288	5.9%
?	382	1.8%
&	199	0.9%
!	21	0.1%
#	21	0.1%
'	10	< 0.1%
,	10	< 0.1%

Decimal Number

Value	Count	Frequency (%)
0	2108	15.2%
1	1781	12.8%
8	1432	10.3%
2	1392	10.0%
4	1384	10.0%
9	1352	9.7%
3	1243	9.0%
5	1166	8.4%
6	1058	7.6%
7	958	6.9%

Math Symbol

Value	Count	Frequency (%)
=	676	92.0%
+	43	5.9%
~	16	2.2%

Dash Punctuation

Value	Count	Frequency (%)
-	2421	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	571	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	97656	71.3%
Common	39350	28.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	10538	10.8%
s	6976	7.1%
e	6915	7.1%
w	6070	6.2%
o	5897	6.0%
h	5123	5.2%
i	4793	4.9%
p	4441	4.5%
a	4332	4.4%
m	4082	4.2%
Other values (42)	38489	39.4%

Common

Value	Count	Frequency (%)
/	11240	28.6%
.	5648	14.4%
:	2930	7.4%
-	2421	6.2%
0	2108	5.4%
1	1781	4.5%
8	1432	3.6%
2	1392	3.5%
4	1384	3.5%
9	1352	3.4%
Other values (15)	7662	19.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	137006	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	11240	8.2%
t	10538	7.7%
s	6976	5.1%
e	6915	5.0%
w	6070	4.4%
o	5897	4.3%
.	5648	4.1%
h	5123	3.7%
i	4793	3.5%
p	4441	3.2%
Other values (67)	69365	50.6%

_embedded.show.schedule.time
Categorical

HIGH CORRELATION
MISSING

Distinct	44
Distinct (%)	5.1%
Missing	2213
Missing (%)	71.8%
Memory size	24.2 KiB

20:00	284
10:00	75
12:00	71
06:00	61
21:00	56
Other values (39)	322

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	4345
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	0.7%

Sample

1st row	10:00
2nd row	23:45
3rd row	10:00
4th row	10:00
5th row	22:00

Common Values

Value	Count	Frequency (%)
20:00	284	9.2%
10:00	75	2.4%
12:00	71	2.3%
06:00	61	2.0%
21:00	56	1.8%
19:00	43	1.4%
18:00	39	1.3%
00:00	28	0.9%
22:00	26	0.8%
17:00	22	0.7%
Other values (34)	164	5.3%
(Missing)	2213	71.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
20:00	284	32.7%
10:00	75	8.6%
12:00	71	8.2%
06:00	61	7.0%
21:00	56	6.4%
19:00	43	4.9%
18:00	39	4.5%
00:00	28	3.2%
22:00	26	3.0%
17:00	22	2.5%
Other values (34)	164	18.9%

Most occurring characters

Value	Count	Frequency (%)
0	2138	49.2%
:	869	20.0%
2	556	12.8%
1	414	9.5%
6	71	1.6%
3	65	1.5%
8	61	1.4%
5	60	1.4%
9	54	1.2%
7	35	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3476	80.0%
Other Punctuation	869	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2138	61.5%
2	556	16.0%
1	414	11.9%
6	71	2.0%
3	65	1.9%
8	61	1.8%
5	60	1.7%
9	54	1.6%
7	35	1.0%
4	22	0.6%

Other Punctuation

Value	Count	Frequency (%)
:	869	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4345	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2138	49.2%
:	869	20.0%
2	556	12.8%
1	414	9.5%
6	71	1.6%
3	65	1.5%
8	61	1.4%
5	60	1.4%
9	54	1.2%
7	35	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4345	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2138	49.2%
:	869	20.0%
2	556	12.8%
1	414	9.5%
6	71	1.6%
3	65	1.5%
8	61	1.4%
5	60	1.4%
9	54	1.2%
7	35	0.8%

_embedded.show.schedule.days
Categorical

HIGH CORRELATION

Distinct	41
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	24.2 KiB

[]	879
['Friday']	297
['Thursday']	262
['Monday']	173
['Tuesday']	146
Other values (36)	1325

Length

Max length	78
Median length	57
Mean length	17.50908501
Min length	2

Characters and Unicode

Total characters	53963
Distinct characters	22
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	['Monday', 'Wednesday', 'Friday']
2nd row	['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday']
3rd row	['Saturday']
4th row	['Tuesday']
5th row	['Tuesday', 'Sunday']

Common Values

Value	Count	Frequency (%)
[]	879	28.5%
['Friday']	297	9.6%
['Thursday']	262	8.5%
['Monday']	173	5.6%
['Tuesday']	146	4.7%
['Wednesday']	142	4.6%
['Saturday']	139	4.5%
['Sunday']	120	3.9%
['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']	110	3.6%
['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday']	92	3.0%
Other values (31)	722	23.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
thursday	899	16.3%
	879	15.9%
wednesday	804	14.5%
friday	753	13.6%
monday	723	13.1%
tuesday	703	12.7%
saturday	401	7.3%
sunday	366	6.6%

Most occurring characters

Value	Count	Frequency (%)
'	9298	17.2%
d	5453	10.1%
a	5050	9.4%
y	4649	8.6%
[	3082	5.7%
]	3082	5.7%
,	2446	4.5%
	2446	4.5%
s	2406	4.5%
u	2369	4.4%
Other values (12)	13682	25.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	28960	53.7%
Other Punctuation	11744	21.8%
Uppercase Letter	4649	8.6%
Open Punctuation	3082	5.7%
Close Punctuation	3082	5.7%
Space Separator	2446	4.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
d	5453	18.8%
a	5050	17.4%
y	4649	16.1%
s	2406	8.3%
u	2369	8.2%
e	2311	8.0%
r	2053	7.1%
n	1893	6.5%
h	899	3.1%
i	753	2.6%
Other values (2)	1124	3.9%

Uppercase Letter

Value	Count	Frequency (%)
T	1602	34.5%
W	804	17.3%
S	767	16.5%
F	753	16.2%
M	723	15.6%

Other Punctuation

Value	Count	Frequency (%)
'	9298	79.2%
,	2446	20.8%

Open Punctuation

Value	Count	Frequency (%)
[	3082	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	3082	100.0%

Space Separator

Value	Count	Frequency (%)
	2446	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	33609	62.3%
Common	20354	37.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
d	5453	16.2%
a	5050	15.0%
y	4649	13.8%
s	2406	7.2%
u	2369	7.0%
e	2311	6.9%
r	2053	6.1%
n	1893	5.6%
T	1602	4.8%
h	899	2.7%
Other values (7)	4924	14.7%

Common

Value	Count	Frequency (%)
'	9298	45.7%
[	3082	15.1%
]	3082	15.1%
,	2446	12.0%
	2446	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	53963	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	9298	17.2%
d	5453	10.1%
a	5050	9.4%
y	4649	8.6%
[	3082	5.7%
]	3082	5.7%
,	2446	4.5%
	2446	4.5%
s	2406	4.5%
u	2369	4.4%
Other values (12)	13682	25.4%

_embedded.show.rating.average
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	33
Distinct (%)	7.8%
Missing	2661
Missing (%)	86.3%
Infinite	0
Infinite (%)	0.0%
Mean	6.864608076

Minimum	3.6
Maximum	8.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.2 KiB

Quantile statistics

Minimum	3.6
5-th percentile	5
Q1	6.6
median	7.1
Q3	7.5
95-th percentile	8.1
Maximum	8.8
Range	5.2
Interquartile range (IQR)	0.9

Descriptive statistics

Standard deviation	0.93839105
Coefficient of variation (CV)	0.1366998727
Kurtosis	0.2982410094
Mean	6.864608076
Median Absolute Deviation (MAD)	0.4
Skewness	-0.7695587937
Sum	2890
Variance	0.8805777627
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
7.2	44	1.4%
7.7	33	1.1%
7.5	32	1.0%
6.8	29	0.9%
6.7	28	0.9%
7.4	22	0.7%
7	21	0.7%
5	21	0.7%
6.6	20	0.6%
7.3	15	0.5%
Other values (23)	156	5.1%
(Missing)	2661	86.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3.6	2	0.1%
4	1	< 0.1%
4.3	1	< 0.1%
4.8	2	0.1%
5	21	0.7%
5.2	8	0.3%
5.3	14	0.5%
5.4	12	0.4%
5.6	4	0.1%
5.8	8	0.3%

Value	Count	Frequency (%)
8.8	5	0.2%
8.6	3	0.1%
8.2	12	0.4%
8.1	13	0.4%
8	5	0.2%
7.8	10	0.3%
7.7	33	1.1%
7.6	4	0.1%
7.5	32	1.0%
7.4	22	0.7%

_embedded.show.weight
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	98
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.13108371

Minimum	0
Maximum	100
Zeros	15
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	24.2 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	17
median	29
Q3	48
95-th percentile	91
Maximum	100
Range	100
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	26.1981504
Coefficient of variation (CV)	0.7250862057
Kurtosis	-0.2769065556
Mean	36.13108371
Median Absolute Deviation (MAD)	14
Skewness	0.8458025265
Sum	111356
Variance	686.3430841
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
19	113	3.7%
29	113	3.7%
18	112	3.6%
16	100	3.2%
24	99	3.2%
15	87	2.8%
7	86	2.8%
4	79	2.6%
17	70	2.3%
39	64	2.1%
Other values (88)	2159	70.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15	0.5%
1	46	1.5%
2	38	1.2%
3	45	1.5%
4	79	2.6%
5	3	0.1%
6	11	0.4%
7	86	2.8%
8	59	1.9%
9	46	1.5%

Value	Count	Frequency (%)
100	9	0.3%
99	11	0.4%
98	8	0.3%
97	25	0.8%
96	33	1.1%
95	6	0.2%
94	2	0.1%
93	46	1.5%
92	14	0.5%
91	21	0.7%

_embedded.show.network
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	3082
Missing (%)	100.0%
Memory size	24.2 KiB

_embedded.show.averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	90
Distinct (%)	3.1%
Missing	169
Missing (%)	5.5%
Infinite	0
Infinite (%)	0.0%
Mean	36.8115345

Minimum	1
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.2 KiB

Quantile statistics

Minimum	1
5-th percentile	7
Q1	18
median	30
Q3	45
95-th percentile	91
Maximum	300
Range	299
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	28.10140055
Coefficient of variation (CV)	0.7633857413
Kurtosis	15.38266314
Mean	36.8115345
Median Absolute Deviation (MAD)	15
Skewness	2.775943319
Sum	107232
Variance	789.6887131
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45	465	15.1%
30	175	5.7%
60	129	4.2%
20	124	4.0%
25	116	3.8%
12	107	3.5%
50	86	2.8%
15	84	2.7%
120	70	2.3%
5	66	2.1%
Other values (80)	1491	48.4%
(Missing)	169	5.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4	0.1%
2	15	0.5%
3	6	0.2%
4	20	0.6%
5	66	2.1%
6	17	0.6%
7	52	1.7%
8	46	1.5%
9	38	1.2%
10	60	1.9%

Value	Count	Frequency (%)
300	4	0.1%
212	3	0.1%
194	2	0.1%
193	1	< 0.1%
188	3	0.1%
181	4	0.1%
180	2	0.1%
135	1	< 0.1%
130	4	0.1%
129	2	0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	_embedded.show.id	_embedded.show.url	_embedded.show.name	_embedded.show.type	_embedded.show.language	_embedded.show.genres	_embedded.show.status	_embedded.show.runtime	_embedded.show.premiered	_embedded.show.ended	_embedded.show.officialSite	_embedded.show.schedule.time	_embedded.show.schedule.days	_embedded.show.rating.average	_embedded.show.weight	_embedded.show.network	_embedded.show.averageRuntime
0	41648	https://www.tvmaze.com/shows/41648/sim-for-you	Sim for You	Reality	Korean	[]	Running	16.0	2019-03-25	NaT	https://www.vlive.tv/video/121637	NaN	['Monday', 'Wednesday', 'Friday']	NaN	35	NaN	16.0
1	52198	https://www.tvmaze.com/shows/52198/kotiki	Котики	Scripted	Russian	['Comedy']	Ended	12.0	2020-11-30	2020-12-11	http://epic-media.ru/project/kotiki	10:00	['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday']	NaN	16	NaN	12.0
2	52933	https://www.tvmaze.com/shows/52933/lab-s-antonom-belaevym	LAB с Антоном Беляевым	Documentary	Russian	['Music']	To Be Determined	26.0	2019-12-17	NaT	https://premier.one/show/lab-laboratoriya-muzyki-antona-belyaeva	23:45	['Saturday']	NaN	17	NaN	25.0
3	51336	https://www.tvmaze.com/shows/51336/core-sense	Core Sense	Animation	Chinese	['Action', 'Anime', 'Science-Fiction']	Running	24.0	2020-10-13	NaT	https://www.bilibili.com/bangumi/media/md28223064	10:00	['Tuesday']	NaN	29	NaN	24.0
4	54033	https://www.tvmaze.com/shows/54033/wu-shen-zhu-zai	Wu Shen Zhu Zai	Animation	Chinese	['Action', 'Adventure', 'Anime', 'Fantasy']	Running	8.0	2020-03-08	NaT	https://v.qq.com/detail/m/7q544xyrava3vxf.html	10:00	['Tuesday', 'Sunday']	NaN	80	NaN	8.0
5	61674	https://www.tvmaze.com/shows/61674/sono-koi-mousukoshi-atatamemasuka	Sono koi Mousukoshi Atatamemasuka	Scripted	Japanese	['Romance']	Ended	15.0	2020-10-20	2020-12-22	https://www.paravi.jp/static/koisuko	22:00	['Tuesday']	NaN	1	NaN	15.0
6	63967	https://www.tvmaze.com/shows/63967/run-bts	Run BTS!	Variety	Korean	[]	Running	NaN	2015-08-01	NaT	NaN	NaN	['Tuesday']	NaN	39	NaN	NaN
7	52038	https://www.tvmaze.com/shows/52038/please-wait-brother	Please Wait, Brother	Scripted	Chinese	['Comedy']	Ended	37.0	2020-11-17	2020-12-08	NaN	12:00	['Tuesday', 'Wednesday', 'Thursday']	NaN	19	NaN	37.0
8	52038	https://www.tvmaze.com/shows/52038/please-wait-brother	Please Wait, Brother	Scripted	Chinese	['Comedy']	Ended	37.0	2020-11-17	2020-12-08	NaN	12:00	['Tuesday', 'Wednesday', 'Thursday']	NaN	19	NaN	37.0
9	52373	https://www.tvmaze.com/shows/52373/fearless-whispers	Fearless Whispers	Scripted	Chinese	['Drama', 'Romance', 'History']	Ended	60.0	2020-11-06	2020-12-01	NaN	NaN	['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']	NaN	26	NaN	60.0

Last rows

	_embedded.show.id	_embedded.show.url	_embedded.show.name	_embedded.show.type	_embedded.show.language	_embedded.show.genres	_embedded.show.status	_embedded.show.runtime	_embedded.show.premiered	_embedded.show.ended	_embedded.show.officialSite	_embedded.show.schedule.time	_embedded.show.schedule.days	_embedded.show.rating.average	_embedded.show.weight	_embedded.show.network	_embedded.show.averageRuntime
3072	59380	https://www.tvmaze.com/shows/59380/forteresses-assiegees-batailles-de-legende	Forteresses assiégées, batailles de légende	Documentary	French	[]	Running	51.0	2020-12-31	NaT	https://www.zed.fr/fr/tv/distribution/catalogue/programme/forteresses-assiegees-batailles-de-legende	NaN	['Thursday']	NaN	1	NaN	52.0
3073	17046	https://www.tvmaze.com/shows/17046/notruf-hafenkante	Notruf Hafenkante	Scripted	German	['Drama', 'Crime']	Running	45.0	2007-01-04	NaT	https://www.zdf.de/serien/notruf-hafenkante	19:25	['Thursday']	NaN	28	NaN	50.0
3074	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	['Drama', 'Romance']	Running	23.0	1990-10-01	NaT	http://gtst.nl/#!/	20:00	['Monday', 'Tuesday', 'Wednesday', 'Thursday']	NaN	80	NaN	25.0
3075	39053	https://www.tvmaze.com/shows/39053/wwe-nxt-uk	WWE NXT UK	Sports	English	[]	Running	60.0	2018-10-17	NaT	NaN	15:00	['Thursday']	NaN	80	NaN	60.0
3076	39441	https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	Carl Weber's The Family Business	Scripted	English	['Drama', 'Crime', 'Thriller']	Running	60.0	2018-11-13	NaT	https://www.bet.plus/shows/carl-webers-the-family-business	21:00	[]	5.0	95	NaN	59.0
3077	39441	https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	Carl Weber's The Family Business	Scripted	English	['Drama', 'Crime', 'Thriller']	Running	60.0	2018-11-13	NaT	https://www.bet.plus/shows/carl-webers-the-family-business	21:00	[]	5.0	95	NaN	59.0
3078	39441	https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	Carl Weber's The Family Business	Scripted	English	['Drama', 'Crime', 'Thriller']	Running	60.0	2018-11-13	NaT	https://www.bet.plus/shows/carl-webers-the-family-business	21:00	[]	5.0	95	NaN	59.0
3079	39441	https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	Carl Weber's The Family Business	Scripted	English	['Drama', 'Crime', 'Thriller']	Running	60.0	2018-11-13	NaT	https://www.bet.plus/shows/carl-webers-the-family-business	21:00	[]	5.0	95	NaN	59.0
3080	39441	https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	Carl Weber's The Family Business	Scripted	English	['Drama', 'Crime', 'Thriller']	Running	60.0	2018-11-13	NaT	https://www.bet.plus/shows/carl-webers-the-family-business	21:00	[]	5.0	95	NaN	59.0
3081	39441	https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	Carl Weber's The Family Business	Scripted	English	['Drama', 'Crime', 'Thriller']	Running	60.0	2018-11-13	NaT	https://www.bet.plus/shows/carl-webers-the-family-business	21:00	[]	5.0	95	NaN	59.0

Most frequently occurring

	_embedded.show.id	_embedded.show.url	_embedded.show.name	_embedded.show.type	_embedded.show.language	_embedded.show.genres	_embedded.show.status	_embedded.show.runtime	_embedded.show.premiered	_embedded.show.ended	_embedded.show.officialSite	_embedded.show.schedule.time	_embedded.show.schedule.days	_embedded.show.rating.average	_embedded.show.weight	_embedded.show.averageRuntime	# duplicates
7	15250	https://www.tvmaze.com/shows/15250/the-young-turks	The Young Turks	News	English	[]	Running	120.0	2013-12-24	NaT	https://www.tytnetwork.com	NaN	['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday']	NaN	46	120.0	38
424	55355	https://www.tvmaze.com/shows/55355/90-day-fiance-extras	90 Day Fiancé: Extras	Reality	English	[]	Ended	NaN	2020-12-15	2020-12-15	https://www.discoveryplus.co.uk/show/90-day-extras	NaN	[]	NaN	27	91.0	32
43	30606	https://www.tvmaze.com/shows/30606/scishow	SciShow	Documentary	English	[]	Running	NaN	2012-01-02	NaT	https://www.youtube.com/user/scishow/	NaN	[]	NaN	9	9.0	31
363	52743	https://www.tvmaze.com/shows/52743/the-penalty-zone	The Penalty Zone	Scripted	Chinese	['Drama', 'Action', 'Crime']	Ended	45.0	2020-12-16	2021-01-09	https://www.iqiyi.com/a_19rrhllpip.html	NaN	['Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']	NaN	21	45.0	30
279	52104	https://www.tvmaze.com/shows/52104/twisted-fate-of-love	Twisted Fate of Love	Scripted	Chinese	['Drama', 'Romance', 'History']	Ended	45.0	2020-11-23	2020-12-30	https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=	20:00	['Monday', 'Tuesday', 'Wednesday']	NaN	28	45.0	29
318	52421	https://www.tvmaze.com/shows/52421/you-complete-me	You Complete Me	Scripted	Chinese	['Drama', 'Romance']	Ended	45.0	2020-12-02	2021-01-14	NaN	20:00	['Wednesday', 'Thursday', 'Friday']	NaN	24	45.0	28
159	47912	https://www.tvmaze.com/shows/47912/the-wolf	The Wolf	Scripted	Chinese	['Drama', 'Romance', 'History']	Ended	45.0	2020-11-19	2021-01-04	https://www.iqiyi.com/lib/m_213579814.html	NaN	[]	NaN	36	45.0	26
372	52806	https://www.tvmaze.com/shows/52806/ultimate-note	Ultimate Note	Scripted	Chinese	['Drama', 'Comedy', 'Adventure']	Ended	45.0	2020-12-10	2021-01-02	https://www.iqiyi.com/a_nvzsmw0tgx.html	NaN	['Thursday', 'Friday', 'Saturday']	NaN	29	45.0	26
218	50752	https://www.tvmaze.com/shows/50752/stjernestov	Stjernestøv	Scripted	Norwegian	['Drama', 'Children', 'Family']	Ended	20.0	2020-12-01	2020-12-24	https://tv.nrk.no/serie/stjernestoev	06:00	['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']	NaN	18	20.0	24
332	52524	https://www.tvmaze.com/shows/52524/forever-love	Forever Love	Scripted	Chinese	['Drama', 'Romance']	Ended	45.0	2020-12-14	2021-01-05	https://v.qq.com/detail/m/mzc00200dnvb1wh.html	20:00	['Monday', 'Tuesday', 'Wednesday']	NaN	39	45.0	24

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Dash Punctuation

Currency Symbol

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Cyrillic

Common

Greek

Most occurring blocks

Most frequent character per block

ASCII

Cyrillic

None

Currency Symbols

Punctuation

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter